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Physics Informed Machine Learning Jobs in Gresham, OR

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Bachelor in a relevant field (Mathematics, Physics, Computer Science) 3+ months of experience in ...

Graduate coursework or research experience in semiconductor device physics or 5+ years of work ... Experience with machine learning algorithms and their application is data analysis and compact ...

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... device physics, leakage mechanisms, technology interactions with device behavior. - Solid ...

Machine learning accelerators, SRAM circuits, non-volatile memories, weak / moderate inversion ... device physics, leakage mechanisms, technology interactions with device behavior. - Solid ...

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

... machine learning techniques to enhance process stability and enable continuous improvement ... Physics, or a related STEM discipline with 6+ years of relevant experience. - OR Master's degree in ...

You possess a strong foundation in traditional predictive machine learning (e.g., classification ... Economics, Physics) or equivalent professional experience. * You are able to manage product ...

... informed business decisions. You will utilize advanced analytics techniques to help clients ... machine learning algorithms for business solutions - Excelling in client relationship management ...

New

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC ...

Showing results 41-60

Physics Informed Machine Learning information

See Gresham, OR salary details

$5

$21

$26

How much do physics informed machine learning jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for physics informed machine learning in Gresham, OR is $21.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $26.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

Infographic showing various Physics Informed Machine Learning job openings in Gresham, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,209 per year, or $21.3 per hour.

AI Software Engineering Intern

Intel Corporation

Hillsboro, OR • On-site

Part-time

Medical, Retirement, PTO

Re-posted 6 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers


Job description

Job Details:
Job Description:
This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and is interested in building strong foundations in AI software stacks, GPU programming, and performance optimization. Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system level deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands on experience and projects that support Intel business goals in a collaborative environment.
This position requires to be onsite 2 days per week.
This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with at least three years of post-degree related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor's degree and less than three years' experience.
Qualifications:
Minimum requirements:
Available to work part-time for 6-12 months and to work onsite for the duration of the internship while pursuing a degree.
Bachelor in a relevant field (Mathematics, Physics, Computer Science)
3+ months of experience in the following areas:
  • C and C++
  • Software development on Linux
  • Floating-point arithmetic
  • Accuracy validation of floating-point algorithms
  • Software libraries design and architecture

Preferred Qualifications
  • Graphics experience (GPU / CUDA)

Job Type:
Student / Intern
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, California, Folsom
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $101,100.00-136,800.00 USD (Hourly Role)
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968